5th – 11th August 2020, Erfurt, Germany

Preface

Background:

The 9th international Summer School in Biomedical Engineering succeeds a series of summer schools in the past, addressing diverse aspects of bioelectromagnetic signals in the brain, such as clinical and state of the art techniques for measurement, data processing, source reconstruction, brain stimulation, multimodal data integration, and generative modeling.

Often, measured signal merely represent a reduced or distorted mapping of the hidden original sources. Non-invasive techniques that measure brain activity are confronted with this problem that impedes clinical diagnostics and neurocognitive research.

The aim of the 9th International Summer School in Biomedical engineering is to provide education and practical exercises in the field of non-invasive dynamic brain imaging. This will include methodological approaches and challenges, measurement devices and characteristics, types of underlying theoretic modeling, specifics of data analysis, ability to derive conclusions about neuroscientific meaning. The program contains thematic lectures on hardware for brain imaging in the field of EEG, MEG and near infrared spectroscopy. Further, signal decomposition methods for feature extraction or denoising of electrophysiological data will be introduced. The summer school additionally includes lectures about neural mass modeling and the neuroelectromagentic inverse problem.

Aims:

The main objective of the International Summer School is to provide in depth education and advanced training on state of the art techniques of non-invasive dynamic brain imaging by international experts in biomedical engineering. It aims at a thorough understanding of the underlying mechanisms and thus will develop a critical view on current applications and possible future developments.

The second important aim of the International Summer School consist in providing contact with both leading experts in the field and other students with similar interests. This way, the meeting will facilitate the exchange of ideas on latest developments and help to build professional networks.

The students will obtain soft skills with the focus on research project management specific for PhD students.

In response, you will receive a registration number and the payment details. The preliminary registration secures you a place on the list for three weeks, within which you should transfer the money. Registration becomes valid upon reception of the fee. Refund of the registration fee will be given upon cancellation before July 31st 2020.

Please make sure to state your registration number as reason of payment!